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An enhanced optimization based algorithm for intrusion detection in SCADA network

Computers & security, 2017-09, Vol.70, p.16-26

2017

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Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection

Expert systems with applications, 2020-01, Vol.139, p.112845, Article 112845

2020

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SysDetect: A systematic approach to critical state determination for Industrial Intrusion Detection Systems using Apriori algorithm

Journal of process control, 2015-08, Vol.32, p.154-160

2015

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Intrusion detection in smart cities using Restricted Boltzmann Machines

Journal of network and computer applications, 2019-06, Vol.135, p.76-83

2019

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Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions

Neural computing & applications, 2020-07, Vol.32 (14), p.9827-9858

2020

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Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study

Applied soft computing, 2015-12, Vol.37, p.416-443

2015

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Studying Analysts’ Data Triage Operations in Cyber Defense Situational Analysis

Theory and Models for Cyber Situation Awareness, p.128-169

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Dimensionality Reduction and Visualization of Network Intrusion Detection Data

Information Security and Privacy, p.441-455

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Critical comparison of methods for fault diagnosis in metabolomics data

Scientific reports, 2019-02, Vol.9 (1), p.1123-1123, Article 1123

2019

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A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection

Advances in Computational Intelligence, p.432-446

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A Modular Environment to Test SCADA Solutions for Wind Parks

Measurement, Modelling and Evaluation of Computing Systems, p.262-272

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A new machine learning method consisting of GA-LR and ANN for attack detection

Wireless networks, 2020-08, Vol.26 (6), p.4149-4162

Hosseini, Soodeh

2020

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Anomaly Detection with Changing Cluster Centers

Advanced Data Mining and Applications, p.42-54

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A Novel Hybrid Data Reduction Strategy and Its Application to Intrusion Detection

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018, Vol.10657, p.289-297

2018

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Dynamic Latency Sensitivity Recognition: An Application to Energy Saving

Green, Pervasive, and Cloud Computing, p.138-151

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A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field

Scientometrics, 2018-11, Vol.117 (2), p.857-886

2018

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The Diagnosis Method of Stator Winding Faults in PMSMs Based on SOM Neural Networks

Energy procedia, 2017-01, Vol.105, p.2295-2301

2017

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Research Hotspots and Trends in Data Mining: From 1993 to 2016

Data Mining and Big Data, p.353-365

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Saving energy in aggressive intrusion detection through dynamic latency sensitivity recognition

Computers & security, 2018-07, Vol.76, p.311-326

2018

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Change detection in noisy dynamic networks: a spectral embedding approach

Social network analysis and mining, 2020-12, Vol.10 (1), p.14, Article 14

2020

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WebHound: a data-driven intrusion detection from real-world web access logs

Soft computing (Berlin, Germany), 2019-11, Vol.23 (22), p.11947-11965

2019

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A Game Theoretical Framework for Inter-process Adversarial Intervention Detection

Decision and Game Theory for Security, 2018, Vol.11199, p.486-507

2018

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Safety, security and safeguard

Annals of nuclear energy, 2015-01, Vol.75, p.292-302

2015

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Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

Business systems research, 2017-03, Vol.8 (1), p.51

Masoud Al Quhtani

2017

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Malware propagation in smart grid monocultures

Elektrotechnik und Informationstechnik, 2018-06, Vol.135 (3), p.264-269

2018

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An enhanced optimization based algorithm for intrusion detection in SCADA network

Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection

SysDetect: A systematic approach to critical state determination for Industrial Intrusion Detection Systems using Apriori algorithm

Intrusion detection in smart cities using Restricted Boltzmann Machines

Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions

Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study

Studying Analysts’ Data Triage Operations in Cyber Defense Situational Analysis

Dimensionality Reduction and Visualization of Network Intrusion Detection Data

Critical comparison of methods for fault diagnosis in metabolomics data

A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection

A Modular Environment to Test SCADA Solutions for Wind Parks

A new machine learning method consisting of GA-LR and ANN for attack detection

Anomaly Detection with Changing Cluster Centers

A Novel Hybrid Data Reduction Strategy and Its Application to Intrusion Detection

Dynamic Latency Sensitivity Recognition: An Application to Energy Saving

A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field

The Diagnosis Method of Stator Winding Faults in PMSMs Based on SOM Neural Networks

Research Hotspots and Trends in Data Mining: From 1993 to 2016

Saving energy in aggressive intrusion detection through dynamic latency sensitivity recognition

Change detection in noisy dynamic networks: a spectral embedding approach

WebHound: a data-driven intrusion detection from real-world web access logs

A Game Theoretical Framework for Inter-process Adversarial Intervention Detection

Safety, security and safeguard

Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

Malware propagation in smart grid monocultures

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